Google Cloud Contact Center AI vs. Lifesize CxEngage

Well suited for sites where the product is hardware because with those if there are any questions then the site could help eliminate having to contact the company directly and waiting for answers days later. This would be suited for products as the answer could be given and the more complex questions would be directed to the company.

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CxEngage can handle some more complex flow options that other vendors don't seem to be able to do. The integration for voice calls with Salesforce is a huge plus. The integration of email support with Salesforce is a BIG miss. After fighting with it for a year, we finally just turned it off and use Salesforce Omnichannel for email support. Chat using Salesforce Live Agent worked fine enough.

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• Google Cloud Contact Center AI is based on the same foundation infrastructure and services as Google Assistant, therefore, it is robust and flexible. The APIs are very well built and documented as well. Any newbie can start using the service with a very little learning curve.
• Seamless integrations are also a great add-on. Google makes sure that Contact Center AI service integrates well with leading customer service platforms which helps any user to use only the required functionalities from Contact Center AI and meanwhile use any other primary platform.
• Robust documentation which is always alive and is updated within no time is of great help! Google makes sure its end customers know what to do where and when in clear plain text and any issues/ bugs are also documented.

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• Great flexibility working with flow creation and editing
• Great support staff
• Good overall package for workforce management and quality monitoring
• Integrates well with our tools.

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• It's still in the beginning phase of sentimental Analysis and more data sets can really help during tough conversations.
• Automation can be made a little simpler and basic for anyone to be able to work on it.
• Each instance of the software can have its own AI learning for a wider range of real time issues.

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• Stronger support and more reliable system for users not on a commercial network
• Consumer friendly and intuitive reporting and dashboard tools. build canned reports
• Reporting: Ability to get a combined SVL for all queues included on a report (now we manually calculate after exporting the report into excel). Same for all major data points (ASA, AHT, etc.)
• Ability to include abandoned calls and an abandonment percentage which excludes short abandons on the Queue summary report. Now the report just shows total abandons and abandonment percentage so if we want to exclude short abandons we have to pull a separate report to find out how many calls abandoned in less than 10 seconds then calculate the "true abandoned number" (calls abandoned minus short abandons)
• Ability to change what is considered a "short abandon" and then report on it. Right now the only option is the built in tracking of calls that abandoned in equal to or less than 10 seconds.
• Ability to "save" an agents "default" skill profile so that any changes we make can be returned to "BAU" with a click of a button
• quicker data/historical report retrieval
• way to separate what we have listed as a queue name for reporting vs. what is used for the queue name in the "whisper" (the issue we had with WT queue naming conventions because we had to have the whisper be super precise)

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We are happy with the implementation and functionality of the software and associated systems. In general, unless something better can replace this system we intend on continuing. We think the ease of systems implementation and integration adds value and substantiates the use and excellent functionality of the product and associated services.

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Generally intuitive and easy to learn. I would like more guides but the learning curve is rather quick and makes the software rather an easy study for the average user. Generally, the support and functionality of the software make for a generally good outcome and easy implementation of the software and user experience.

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We implemented in 2018 and were only given 8 weeks to do it...as per the direction of our parent company at the time. Serenova at the time responded well and we were able to go Live within 8-weeks...albeit the product overall was a big change and had gaps in features over our previous contact management solution.

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Only IBM Watson Assistant has been the one we have used in the company, in fact, it was the first to use it because currently in the market there are not many options to use, and if there are they are not receiving enough publicity, so we have limited ourselves to google cloud contact center AI.

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It's been too many years...I don't remember. Except in 2021 we looked briefly at Amazon and Salesforce call center offerings. Both were too basic at the time that even if we got a great deal on licensing (we are a Salesforce house for other things), we couldn't easily (or at all) do things like Callbacks and some of the more robust flow buildouts that we have in place today with Lifesize.

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• Reduced the number of minutes spent by live agents on trivial queries.
• Our client saved thousands of dollars by using the AI contact center as now the agents spend most of their time solving real issues.
• Customer satisfaction got increased exponentially.

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• lower operational costs
• improved agent productivity
• improved flexibility in design and admin work

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